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Mood Profiling for Sustainable Mental Health among Athletes

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Mood responses are a well-established mental health indicator. Gauging mental health status over time often involves periodic mood assessment using a standardized measure, a process referred to as mood profiling. Comparison of observed mood scores against relevant normative data is central to effective mood profiling. The primary purpose of our study was to improve existing norms for the Brunel Mood Scale (BRUMS) using a large internet sample. The secondary purpose was to discuss how mood profiling can be used to promote sustainable mental health primarily among athletes but also with relevance to non-athletes. The BRUMS was completed via the In The Mood website by 15,692 participants. Significant differences between observed mean scores and existing normative data were evident for all six mood dimensions, prompting norm refinement. Specific group norms were generated to address sex differences in mood responses and differences by athlete/nonathlete status. The revised tables of normative data for the BRUMS should be used by researchers in future investigations of mood responses and by applied practitioners seeking to monitor mood responses as an indicator of mental health status. Applications of mood profiling with elite athletes are exemplified, along with recommendations for using mood profiling in the pursuit of sustainable mental health.
Title: Mood Profiling for Sustainable Mental Health among Athletes
Description:
Mood responses are a well-established mental health indicator.
Gauging mental health status over time often involves periodic mood assessment using a standardized measure, a process referred to as mood profiling.
Comparison of observed mood scores against relevant normative data is central to effective mood profiling.
The primary purpose of our study was to improve existing norms for the Brunel Mood Scale (BRUMS) using a large internet sample.
The secondary purpose was to discuss how mood profiling can be used to promote sustainable mental health primarily among athletes but also with relevance to non-athletes.
The BRUMS was completed via the In The Mood website by 15,692 participants.
Significant differences between observed mean scores and existing normative data were evident for all six mood dimensions, prompting norm refinement.
Specific group norms were generated to address sex differences in mood responses and differences by athlete/nonathlete status.
The revised tables of normative data for the BRUMS should be used by researchers in future investigations of mood responses and by applied practitioners seeking to monitor mood responses as an indicator of mental health status.
Applications of mood profiling with elite athletes are exemplified, along with recommendations for using mood profiling in the pursuit of sustainable mental health.

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